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Poster Sessions
  • Session 1
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  • ACRS 1999


    Poster Session 1
    Requirements of Optimal Synthetic Aperture Radar (SAR) Frequency, Polarization and Incidence Angle for Mapping Underwater Bottom Topography: A Simulation Study

    Method of solution
    The calculation of surface currents from equations (1)-(3) has been reduced to a quasi-one-dimensional problem since the underwater bottom topography in fig.1 is perpendicular to the current direction. It is also assumed that the current flow is laminar, free of vertical current shear and quasi-stationary. Thus, the current (x) is derived from the simple continuity equation. The action balance equation (4) is solved numerically following the method of characteristics employed by Hughes (1978). The normalized radar backscattering cross section (s 0) is finally calculated from equations (7) and (8).

    Results

    Optimal radar frequency
    Fig.2 is an example of the simulation for optimal radar frequency showing the variations of s 0 with underwater bottom topography for q=23° , d=10m , h1=10m , V V polarized P, L, C and X bands. D s 0=½ s 0 -s 00½ , s 00 being the normalized radar backscattering cross section at x=0 . It can be seen from fig.2(a) that s 0 for all bands decreases slowly with increase of the height of the sandwave and reaches their minimum near the crest at x=573m. The s 0 then increases rapidly with decrease of the height of the sandwave. s 0p(s 0 for P band) has a largest variation while s 0x (s 0 for X band) has a smallest variation across the sandwave. This means that long wavelength radars can see the pattern of the sandwave more clearly than the short wavelength radars. It can be found from fig.2(b) that for each location of the sandwave ½ D s 0P½> ½ D s 0 L½> ½ D s 0C½ >½ D s 0x½. This indicates that underwater bottom topography can be detected more easily by the longer wavelength radars. Simulation for other cases shows similar results. It can be concluded from our simulation that long wavelengths are required. P band is the optimal band for mapping underwater bottom topography, followed by L, C and X bands.

    Optimal polarization
    Our simulation results show that s 0 for P, L, C and X bands do not depend on the polarization. However, s 0 from the sea surface for V V polarization is highest, which yield the best signal-to-noise ratio. Thus, V V polarization is to be preferred for mapping underwater bottom topography.






    Fig.2 Variations of s 0 (a) and D s 0 (b) with underwater bottom topography(c).


    Optimal incidence angle
    Fig.3 depicts the relationship between the incidence angles and the s 0 for d=7m, h1=10m, V V polarized P, L, C and X bands. It can be seen that the s 0 decreases with incidence angles. The signal from the sea surface is too small to be detected by spaceborne radar when the incidence angle is very large. Compared with the Radarsat SAR noise equivalent sigma naught of –18.5 dB (minimum detectable signal) (parashar, et al., 1993), the optimal range of the incidence angle for mapping underwater bottom topography is between 20° to 40°.

    Conclusions
    In this work the radar backscattering cross section of the sea surface has been simulated and analyzed. Form the results of the simulation the following conclusions are drawn. For mapping underwater bottom topography, large wavelengths (P and L bands), V V polarization and small incidence angles (20° to 40°) are prefered.








    Fig.3 Variations of s 0 at P((a)),L((b)),C((c)) and X((d)) bands with the radar incidence angles

    Acknowledgments
    This work was supported by the China 863 Program under the Projects 818-06-02 and 2-7-4-15.

    References
    • Alpers, W. and Hennings, I., 1984, A theory of the imaging mechanism of underwater bottom topography by real and synthetic aperture radar. Journal of Geophysical Research, 89C, 10529-10546.
    • de Loor, G. P., 1981, The observation of tidal patterns, currents and bathymetry with SLAR imagery of the sea. I.E.E.E Journal of Oceanic Engineering, 6, 124-129.
    • Hughes, B. A., 1978, The effect of internal waves on surface waves. 2. Theoretical analysis, Journal of Geophysical Research, 83C, 455-465.
    • Parashar, S., et al., 1993, Radarsat mission requirements and concept. Canadian Journal of Remote Sensing, 19, 280-288.
    • Schmullius, C. C. and Evans, D. L., 1997, Synthetic aperture radar (SAR) frequency and polarization requirements for applications in ecology, geology, hydrology and oceanography: a tabular status quo after SIR-C/X-SAR. Int. J. Remote Sensing, 18, 2713-2722.
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